About the role#
As a research intern, you will help develop and validate system-modeling capabilities for datacenter and AI workloads. You will evaluate memory-centric architectures at rack scale to quantify tradeoffs before hardware implementation. This role involves turning architecture hypotheses into quantified evidence that informs long-term product direction.
What you'll do#
- Analyze AI training and inference workloads to determine requirements for memory bandwidth, capacity, and latency.
- Build and contribute to analytical and simulation models to evaluate system architectures.
- Assess system-level tradeoffs related to emerging memory and integration technologies.
- Benchmark models against reference data to ensure accuracy and reproducibility.
- Produce analyses on performance, efficiency, and cost to guide architectural decisions.
What you'll need#
- Current enrollment in an M.S. or Ph.D. program in Computer Architecture, Computer Engineering, Electrical Engineering, or a related field.
- Strong background in computer architecture and system-level performance analysis.
- Proficiency in Python for building analytical models.
- Ability to analyze complex memory and AI performance challenges.
Location & details#
- This is a full-time, paid internship.
- The position is based on-site in Folsom, California, or San Jose, California.
- The pay range for this position is $50.24 to $55.82 per hour.
About Micron Technology
Micron Technology produces memory and storage solutions including DRAM, NAND, and NOR products. The company operates as a public organization with over 43,000 employees. Founded in 1978, it maintains its headquarters in Boise, Idaho. Micron serves various markets ranging from data centers to mobile devices.
How to get in at Micron Technology
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